Greater London, England, United Kingdom Hybrid / WFH Options
InterEx Group
experience in Big Data implementation projects Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in More ❯
london, south east england, united kingdom Hybrid / WFH Options
InterEx Group
experience in Big Data implementation projects Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in More ❯
scikit-learn). Knowledge of software engineering practices (coding practices to DS, unit testing, version control, code review). Experience with Hadoop (especially the Cloudera and Hortonworks distributions), other NoSQL (especially Neo4j and Elastic), and streaming technologies (especially Spark Streaming). Deep understanding of data manipulation/wrangling techniques. Experience More ❯
and demonstrable knowledge of applying Data Engineering best practices (coding practices to DS, unit testing, version control, code review). Big Data Eco-Systems, Cloudera/Hortonworks, AWS EMR, GCP DataProc or GCP Cloud Data Fusion. Streaming technologies and processing engines, Kinesis, Kafka, Pub/Sub and Spark Streaming. Experience More ❯
for open-source contributors to Apache projects, who have an in-depth understanding of the code behind the Apache ecosystem, should have experience in Cloudera or similar distribution and should possess in depth knowledge of bigdata tech stack. Requirement: Experience of platform engineering along with application engineering (hands-on) Experience More ❯
DV Clearance. WE NEED THE DATA ENGINEER TO HAVE…. Current DV clearance MOD or Enhanced Experience with big data tools such as Hadoop, Cloudera or Elasticsearch Experience With Palantir Foundry Experience working in an Agile Scrum environment with tools such as Confluence/Jira Experience in design, development, test More ❯
DV Clearance. WE NEED THE DATA ENGINEER TO HAVE…. Current DV clearance MOD or Enhanced Experience with big data tools such as Hadoop, Cloudera or Elasticsearch Experience With Palantir Foundry Experience working in an Agile Scrum environment with tools such as Confluence/Jira Experience in design, development, test More ❯
expertise in Terraform, Kubernetes, Shell/Powershell scripting, CI/CD pipelines (GitLab, Jenkins), Azure DevOps, IaC, and experience with big data platforms like Cloudera, Spark, and Azure Data Factory/DataBricks. Key Responsibilities: Implement and maintain Infrastructure as Code (IaC) using Terraform, Shell/Powershell scripting, and CI/… the Technical and Solution Architect teams to design the overall solution architecture for end-to-end data flows. Utilize big data technologies such as Cloudera, Hue, Hive, HDFS, and Spark for data processing and storage. Ensure smooth data management for marketing consent and master data management (MDM) systems. Key Skills … integration and delivery for streamlined development workflows. Azure Data Factory/DataBricks : Experience with these services is a plus for handling complex data processes. Cloudera (Hue, Hive, HDFS, Spark) : Experience with these big data tools is highly desirable for data processing. Azure DevOps, Vault : Core skills for working in Azure More ❯
expertise in Terraform, Kubernetes, Shell/Powershell scripting, CI/CD pipelines (GitLab, Jenkins), Azure DevOps, IaC, and experience with big data platforms like Cloudera, Spark, and Azure Data Factory/DataBricks. Key Responsibilities: Implement and maintain Infrastructure as Code (IaC) using Terraform, Shell/Powershell scripting, and CI/… the Technical and Solution Architect teams to design the overall solution architecture for end-to-end data flows. Utilize big data technologies such as Cloudera, Hue, Hive, HDFS, and Spark for data processing and storage. Ensure smooth data management for marketing consent and master data management (MDM) systems. Key Skills … integration and delivery for streamlined development workflows. Azure Data Factory/DataBricks : Experience with these services is a plus for handling complex data processes. Cloudera (Hue, Hive, HDFS, Spark) : Experience with these big data tools is highly desirable for data processing. Azure DevOps, Vault : Core skills for working in Azure More ❯
a DV Clearance. WE NEED THE DATA ENGINEER TO HAVE Current DV clearance MOD or Enhanced Experience with big data tools such as Hadoop, Cloudera or Elasticsearch Experience With Palantir Foundry Experience working in an Agile Scrum environment with tools such as Confluence/Jira Experience in design, development, test …/DV CLEARANCE/DEVELOPED VETTING/DEEP VETTING/SC CLEARED/SC CLEARANCE/SECURITY CLEARED/SECURITY CLEARANCE/NIFI/CLOUDERA/HADOOP/KAFKA/ELASTIC SEARCH/LEAD BIG DATA ENGINEER/LEAD BIG DATA DEVELOPER More ❯
